Histogram of R0 (unfished recruitment).
Histogram of historical depletion.
Historical recruitment deviations among simulations.
Future recruitment deviations (up to 5 simulations).
Annual mean and median of future recruitment deviations.
Histogram of recruitment autocorrelation.
Apical F from RCM model.
Operating model selectivity in the last historical year (all simulations).
Re-run plot() function with argument
compare = TRUE.
Length selectivity of Fleet 1.
Age-based selectivity of Fleet 1.
Fishing Mortality of Fleet 1.
Observed (black) and predicted (red) catch from Fleet 1.
Observed (black) and predicted (red) mean ages from Fleet 1.
Observed (black) and predicted (red) mean lengths from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Length selectivity of Fleet 2.
Age-based selectivity of Fleet 2.
Fishing Mortality of Fleet 2.
Observed (black) and predicted (red) catch from Fleet 2.
Observed (black) and predicted (red) mean ages from Fleet 2.
Observed (black) and predicted (red) mean lengths from Fleet 2.
Observed (black) and predicted (red) length composition from Fleet 2.
Observed (black) and predicted (red) length composition from Fleet 2.
Observed (black) and predicted (red) length composition from Fleet 2.
Observed (black) and predicted (red) length composition from Fleet 2.
Length selectivity of Fleet 3.
Age-based selectivity of Fleet 3.
Fishing Mortality of Fleet 3.
Observed (black) and predicted (red) catch from Fleet 3.
Observed (black) and predicted (red) mean ages from Fleet 3.
Observed (black) and predicted (red) mean lengths from Fleet 3.
Observed (black) and predicted (red) length composition from Fleet 3.
Observed (black) and predicted (red) length composition from Fleet 3.
Observed (black) and predicted (red) length composition from Fleet 3.
Observed (black) and predicted (red) length composition from Fleet 3.
Length selectivity of Fleet 4.
Age-based selectivity of Fleet 4.
Fishing Mortality of Fleet 4.
Observed (black) and predicted (red) catch from Fleet 4.
Observed (black) and predicted (red) mean ages from Fleet 4.
Observed (black) and predicted (red) mean lengths from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Length selectivity of Fleet 5.
Age-based selectivity of Fleet 5.
Fishing Mortality of Fleet 5.
Observed (black) and predicted (red) catch from Fleet 5.
Observed (black) and predicted (red) mean ages from Fleet 5.
Observed (black) and predicted (red) mean lengths from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Length selectivity of Fleet 6.
Age-based selectivity of Fleet 6.
Fishing Mortality of Fleet 6.
Observed (black) and predicted (red) catch from Fleet 6.
Observed (black) and predicted (red) mean ages from Fleet 6.
Observed (black) and predicted (red) mean lengths from Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 6.
Length selectivity of Fleet 7.
Age-based selectivity of Fleet 7.
Fishing Mortality of Fleet 7.
Observed (black) and predicted (red) catch from Fleet 7.
Observed (black) and predicted (red) mean ages from Fleet 7.
Observed (black) and predicted (red) mean lengths from Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 7.
Length selectivity of Fleet 8.
Age-based selectivity of Fleet 8.
Fishing Mortality of Fleet 8.
Observed (black) and predicted (red) catch from Fleet 8.
Observed (black) and predicted (red) mean ages from Fleet 8.
Observed (black) and predicted (red) mean lengths from Fleet 8.
Observed (black) and predicted (red) length composition from Fleet 8.
Observed (black) and predicted (red) length composition from Fleet 8.
Observed (black) and predicted (red) length composition from Fleet 8.
Observed (black) and predicted (red) length composition from Fleet 8.
Age-based selectivity of Index 1 in last historical year.
Observed (black) and predicted (red) index values for Index 1.
Observed (black) and predicted (red) index values for Index 1. Error bars indicate 95% confidence intervals for observed values.
Age-based selectivity of Index 2 in last historical year.
Observed (black) and predicted (red) index values for Index 2.
Observed (black) and predicted (red) index values for Index 2. Error bars indicate 95% confidence intervals for observed values.
Age-based selectivity of Index 3 in last historical year.
Observed (black) and predicted (red) index values for Index 3.
Observed (black) and predicted (red) index values for Index 3. Error bars indicate 95% confidence intervals for observed values.
Histogram of initial depletion among all simulations.
Estimated recruitment among all simulations.
Estimated spawning biomass among all simulations.
Estimated spawning depletion among all simulations. Unfished spawning biomass is the value calculated from first year life history parameters.
Dynamic SSB0 among all simulations. Model is re-run assuming no historical catches.
Estimated recruitment deviations among all simulations.
Equilibrium spawning potential ratio (SPR) calculated from the biological parameters and F-at-age in the corresponding year for all simulations.
Dynamic spawning potential ratio (SPR) calculated from the biological parameters and cumulative survival of the cohorts in the corresponding year for all simulations.
Length-at-age in the last historical year. Dotted lines indicate 95% intervals for variability in length-at-age.
Weight-at-length in the last historical year
Weight-at-age in the last historical year.
Maturity-at-age in the last historical year.
Maturity-at-length in the last historical year.
Fecundity-at-age (product of spawning output and maturity) in the last historical year.
Natural mortality in last historical year.
Catch time series.
Observed (black) and predicted (red) catch from fleet 1.
Observed (black) and predicted (red) catch from fleet 2.
Observed (black) and predicted (red) catch from fleet 3.
Observed (black) and predicted (red) catch from fleet 4.
Observed (black) and predicted (red) catch from fleet 5.
Observed (black) and predicted (red) catch from fleet 6.
Observed (black) and predicted (red) catch from fleet 7.
Observed (black) and predicted (red) catch from fleet 8.
Observed (black) and predicted (red) index from survey 1.
Observed (black) and predicted (red) index from survey 2.
Observed (black) and predicted (red) index from survey 3.
Index residuals (in log space) for index from survey 1.
Index residuals (in log space) for index from survey 2.
Index residuals (in log space) for index from survey 3.
Observed (black) and predicted (red) length composition from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 1.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 1.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 1.
Observed (black) and predicted (red) mean length from the composition data for Fleet 1.
Observed (black) and predicted (red) length composition from Fleet 2.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 2.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 2.
Observed (black) and predicted (red) mean length from the composition data for Fleet 2.
Observed (black) and predicted (red) length composition from Fleet 3.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 3.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 3.
Observed (black) and predicted (red) mean length from the composition data for Fleet 3.
Observed (black) and predicted (red) length composition from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 4.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 4.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 4.
Observed (black) and predicted (red) mean length from the composition data for Fleet 4.
Observed (black) and predicted (red) length composition from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 5.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 5.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 5.
Observed (black) and predicted (red) mean length from the composition data for Fleet 5.
Observed (black) and predicted (red) length composition from Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 6.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 6.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 6.
Observed (black) and predicted (red) mean length from the composition data for Fleet 6.
Observed (black) and predicted (red) length composition from Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 7.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 7.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 7.
Observed (black) and predicted (red) mean length from the composition data for Fleet 7.
Observed (black) and predicted (red) length composition from Fleet 8.
Multinomial Pearson residuals (bubbles) for length composition from Fleet 8.
Multinomial Pearson residuals (colored tiles) for length composition from Fleet 8.
Observed (black) and predicted (red) mean length from the composition data for Fleet 8.
Terminal year selectivity by fleet.
Time series of fishing mortality by fleet.
Index selectivity at age.
Time series of spawning biomass.
Time series of spawning depletion.
Time series of dynamic SSB0 (reconstructed population without fishing mortality).
Time series of recruitment.
Stock-recruit relationship and estimated recruitment. The red point indicates unfished values.
Stock-recruit relationship with trajectory.
Annual spawning potential ratio (SPR). Equilibrium SPR is calculated from the F-at-age in the corresponding year, while dynamic SPR is calculated from the cumulative survival of cohorts.
Time series of recruitment deviations.
Time series of recruitment deviations with 95% confidence intervals.
Time series of abundance.
Predicted abundance-at-age.
Predicted catch-at-age (summed over all fleets).
Predicted catch-at-length (summed over all fleets).
This report was generated on: 2025-07-08 11:30:12.156939
SAMtool R package version 1.8.1
R version 4.5.0 (2025-04-11
ucrt)